Torah code tables, or as they are popularly called Bible Codes,
are tables made from the text of the Torah, the Five Books of Moses, in which related words
can be found in horizontal, vertical, or diagonal, orientation patterns. The words found in a table
are called equidistant letter sequences.
They are called equidistant letter sequences (ELS for short) because their letters come from
the text, not necessarily letter after letter of the text, but with the same skip from letter to
letter of the ELS. Different ELSs in the same table will in general have different skips.
A table is actually a selected window on a cylinder of particular size around which are spiraled
the letters of the Torah text, without spaces or punctuation marks.

The Torah code tables on this website relate to major historical events or have relevance
to concepts in Judaism and Kabbalah. Unless othersize stated, all Torah code tables on the website
are produced with an objective and statistically valid methodology.

Objective Methodology

There is one objective and statistically valid methodology by which a table can be judged as either something likely
to happen by chance or as unlikely to happen by chance. That methodology is to perform a Monte Carlo experiment.
To perform an experiment requires a protocol.
The protocol specifies the list of key words to be used,
the ELS skip specification,
the criteria by which ELSs skips are considered to be resonant to a cylinder size,
the measure of table compactness, and the control text population on which the experiment is done.
The experiment estimates the fraction of texts in the control population that produce tables whose
compactness is as good or better than that produced by the Torah text. This fraction is called the p-value
of the experiment. When the p-value is small, it suggests that the table is unlikely to happen
by chance. When the p-value is large, say greater than 1/100, it suggests that it is more likely
that the table happens by chance. The Monte Carlo experiment estimates the fraction by sampling
a large number of texts from
the control population and by a fixed unchanging algorithm performs the search process, identically
on each text, to construct a best table from each text.

Because of the complexities of the letter dependencies in the text,
the fraction of texts in the control population that produce as good or better tables than the Torah text
must be estimated by the Monte Carlo experiment and cannot be estimated by any analytic method as is done
in some commercially available software and as shown on some websites. None of these analytic methods
produce a probability that corresponds to any Monte Carlo exerimental result.

All the tables shown on this website use table area as the measure of compactness and the monkey
text population is called the ELS random placement monkey text population.

Technical explanations of Torah codes, how tables are formed, and the
meaning of p-level can be found in the
tutorial.